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Rubberized geopolymer composites: A comprehensive review
The construction sector has been addressing the issue of integrating sustainability into
production processes over the last few years, either through solid waste materials as …
production processes over the last few years, either through solid waste materials as …
Application of bio and nature-inspired algorithms in agricultural engineering
The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …
Prediction of concrete materials compressive strength using surrogate models
Using soft computing methods could be of great interest in predicting the compressive
strength of Ultra-High-Performance Fibre Reinforced Concrete (UHPFRC). Therefore, this …
strength of Ultra-High-Performance Fibre Reinforced Concrete (UHPFRC). Therefore, this …
Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete
Reinforced concrete bond strength deterioration is one of the most serious problems in the
construction industry. It is one of the most common factors impacting structural deterioration …
construction industry. It is one of the most common factors impacting structural deterioration …
Predicting uniaxial compressive strength of rocks using ANN models: incorporating porosity, compressional wave velocity, and schmidt hammer data
The unconfined compressive strength (UCS) of intact rocks is crucial for engineering
applications, but traditional laboratory testing is often impractical, especially for historic …
applications, but traditional laboratory testing is often impractical, especially for historic …
[HTML][HTML] Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models
The construction sector is a major contributor to global greenhouse gas emissions. Using
recycled and waste materials in concrete is a practical solution to address environmental …
recycled and waste materials in concrete is a practical solution to address environmental …
Metamodel techniques to estimate the compressive strength of UHPFRC using various mix proportions and a high range of curing temperatures
In order to predict the compressive strength (σ c) of Ultra-high performance fiber reinforced
concrete (UHPFRC), develo** a reliable and precise technique based on all main …
concrete (UHPFRC), develo** a reliable and precise technique based on all main …
[HTML][HTML] The use of machine learning techniques to investigate the properties of metakaolin-based geopolymer concrete
The construction industry significantly contributes to global greenhouse gas emissions,
highlighting the imperative for develo** environmentally friendly construction materials …
highlighting the imperative for develo** environmentally friendly construction materials …
Machine learning models for predicting the compressive strength of concrete containing nano silica
Experimentally predicting the compressive strength (CS) of concrete (for a mix design) is a
time-consuming and laborious process. The present study aims to propose surrogate …
time-consuming and laborious process. The present study aims to propose surrogate …
Develo** bearing capacity model for geogrid-reinforced stone columns improved soft clay utilizing MARS-EBS hybrid method
Because of the complicated geometry and a lack of knowledge about the parameters that
impact it, estimating the ultimate bearing capacity (q rs) of a geogrid-reinforced sandy bed …
impact it, estimating the ultimate bearing capacity (q rs) of a geogrid-reinforced sandy bed …